Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
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Radiation Mapping: A Gaussian Multi-Kernel Weighting Method for Source Investigation in Disaster Scenarios. [PDF]
Zhang S, Liu Q, Chen J, Cao Y, Wang G.
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Towards Advanced Intelligent and Perceptive Soft Grippers
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
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XGBoost-Based Digital Twin Model for Predicting Trajectory Errors in a Hexapod Coordinated Machining System Using Positioning Accuracy and Vibration Data. [PDF]
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A radial basis function method for noisy global optimisation. [PDF]
Banholzer D, Fliege J, Werner R.
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Research on digital twin diagnosis model for the thermal-electric field of high-voltage switchgears. [PDF]
Ding F, Ma Y, Li X, Huang J, Kang J.
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Performance enhancement of photovoltaic thermal collectors using water based MnO<sub>2</sub> nanofluids and machine learning models. [PDF]
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A Laplacian-based framework for finite element human body model positioning. [PDF]
Chen S, Li X.
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Visual Predictive Control for Robotics with RBF-EKF Coupled State-Disturbance Estimation and Task-Oriented K-Means Clustering. [PDF]
Ji P, Wang H, Ren W, Han Y, Cao M.
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International Journal of Theoretical and Applied Finance, 2022The Radial Basis Functions (RBF) interpolation is a popular approximation technique used to smooth scattered data in various dimensions. This study uses RBF interpolation to interpolate the volatility skew of the S&P500 index options. The interpolated skews are used to construct the risk-neutral densities of the index and its local volatility ...
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